| 14.1 |
 |
Introduction |
| 14.2 |
Materials |
| 14.3 |
Methods |
| 14.3.1 |
Identification Of Differentially Expressed Genes |
| 14.3.1.1 |
Mixed-Effects Anova Of The Normalized Time Series Data |
| 14.3.1.2 |
Local False Discovery Rate Analysis |
| 14.3.2 |
Robust Clustering Of Differential Gene Expression Time Series Data Using Computational Negative Control Approach |
| 14.3.3 |
Transcriptional Regulatory Network Analysis Using Paint |
| 14.3.3.1 |
Generation Of Paint-Compatible Input Files |
| 14.3.3.2 |
Identification Of Over-Represented Transcription Factor Binding Sites |
| 14.4 |
Data Acquisition, Anticipated Results, And Interpretation |
| 14.4.1 |
Selection Of Number Of Clusters: |
| 14.4.2 |
Paint Result Interpretation For Gene Co-Expression Clusters: |
| 14.5 |
Discussion And Commentary |
| 14.5.1 |
Estimation Of Non-Differentially Expressed Genes (Pi.Not Value): |
| 14.5.2 |
Threshold For Local False Discovery Rate Analysis: |
| 14.5.3 |
Format Of Gene Identifiers: |
| 14.5.4 |
Cluster Size Issues: |
| 14.5.5 |
Transfac Version Issues: |
| 14.5.6 |
Annotation Redundancy In The Gene List And Multiple Promoters: |
| 14.5.7 |
Reference Feasnet Selection/Generation: |
| 14.5.8 |
Multiple Testing Correction In Paint: |
| 14.6 |
Troubleshooting Table |
| 14.7 |
Application Notes |
| 14.8 |
Summary Points |
| |
Acknowledgements |
| |
References |